| Title |
Fault Diagnosis Algorithm using Radial Basis Function for Solar Radiation Sensor |
| Authors |
지평식(Pyeong-Shik Ji) ; 이창성(Chang-Sung Lee) ; 임재윤(Jae-Yoon Lim) |
| DOI |
http://doi.org/10.5370/KIEEP.2019.68.1.041 |
| Keywords |
Fault diagnosis ; Photovoltaic system ; RBFN ; Solar energy ; Solar radiation sensor |
| Abstract |
Most photovoltaic power prediction model has been developed considering solar radiation and temperature. Therefore, the reliability of measured radiation value is considered to be a very important factor in the performance of the predictive model. In this paper, we have developed a diagnostic method of solar radiation sensor based on solar power prediction model constructed by RBFN(Radial Basis Fuction Networks). The developed fault diagnosis method is performed by using the difference between power calculated by the solar power prediction model and the actual generation amount. To construct the model, we selected the data with higher correlation coefficients between irradiation and PV power. In the diagnosis process, the diagnosis is made by using the error between the power generation predicted value calculated by the RBFN and the actual power generation. We verified the usefulness of the proposed method through various experiments. |